At the end of 2004, OSi completed the capture of large-scales vector data covering the State. This project took a large part of the organisations resource over the last 10 years. In parallel, however, a range of work has been progressed in improving the data: A fundamental re-engineering of the data model; The overhauling of editing tools; The implementation of rigorous integrity-checking algorithms; The implementation of a sample-based quality assessment programme; The commencement of a programme of data improvement; The rollout of supply and customer access systems to enable wider access to the data; and The collection of new data types. At this stage in the programme, OSi believes that it can consolidate lessons learned whi...
Although managers consider accurate, timely, and relevant information as critical to the quality of ...
Although managers consider accurate, timely, and relevant information as critical to the quality of ...
While some research has been done to identify the dimensions of data quality and to develop methodol...
Although managers consider accurate, timely, and relevant information as critical to the quality of ...
Assessing and improving the quality of data stored in information systems are both important and dif...
This research has identified a gap in the literature surrounding the process of improving and sustai...
The issue of data quality is as old as data itself. However, the proliferation of diverse, large-sca...
Abstract. To gain knowledge out of your data, your data has to be of high quality. Bad data quality ...
Part 6: Research in Progress and PracticeInternational audienceMany studies have confirmed the chall...
High Quality Data are the precondition for examining and making use of enormous facts and for making...
<p>Managing the flow of data in National Statistical Offices (NSOs) and other organizations is becom...
Part 2: Open Data, Linked Data, and Semantic WebInternational audienceCommercial reuse of open gover...
As survival of companies is more judged by the ability to extract the right information within their...
Technology has been the catalyst that has facilitated an explosion of organisational data in terms o...
International audienceCollecting, integrating, storing and analyzing data in a database system is no...
Although managers consider accurate, timely, and relevant information as critical to the quality of ...
Although managers consider accurate, timely, and relevant information as critical to the quality of ...
While some research has been done to identify the dimensions of data quality and to develop methodol...
Although managers consider accurate, timely, and relevant information as critical to the quality of ...
Assessing and improving the quality of data stored in information systems are both important and dif...
This research has identified a gap in the literature surrounding the process of improving and sustai...
The issue of data quality is as old as data itself. However, the proliferation of diverse, large-sca...
Abstract. To gain knowledge out of your data, your data has to be of high quality. Bad data quality ...
Part 6: Research in Progress and PracticeInternational audienceMany studies have confirmed the chall...
High Quality Data are the precondition for examining and making use of enormous facts and for making...
<p>Managing the flow of data in National Statistical Offices (NSOs) and other organizations is becom...
Part 2: Open Data, Linked Data, and Semantic WebInternational audienceCommercial reuse of open gover...
As survival of companies is more judged by the ability to extract the right information within their...
Technology has been the catalyst that has facilitated an explosion of organisational data in terms o...
International audienceCollecting, integrating, storing and analyzing data in a database system is no...
Although managers consider accurate, timely, and relevant information as critical to the quality of ...
Although managers consider accurate, timely, and relevant information as critical to the quality of ...
While some research has been done to identify the dimensions of data quality and to develop methodol...